multivariate analysis stepwise

USAGE SUMMARY

The phrase "multivariate analysis stepwise" is correct and usable in written English.
It can be used in the context of statistical methods where variables are analyzed in a stepwise manner to determine their significance in a model. Example: "In our study, we employed a multivariate analysis stepwise approach to identify the most influential factors affecting the outcome."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

7 human-written examples

In the multivariate analysis, stepwise model comparison was used to determine the best model.

Plosone

For the multivariate analysis, stepwise linear regression was performed.

Cardiovascular Diabetology

For multivariate analysis, stepwise regression analysis was used.

BMJ Open

At the multivariate analysis, stepwise linear regression was performed.

Cardiovascular Diabetology

Factors with p values <0.05 are included in multivariate analysis (stepwise backward logistic regression) to identify independent predictors of agitation.

BMJ Open

For multivariate analysis, stepwise multiple linear regressions were first done to select the best subset of covariates among age, CAG repeat length, total testosterone, free testosterone and dihydrotestosterone.

Brain

Human-verified similar examples from authoritative sources

Similar Expressions

53 human-written examples

The multivariate analysis (stepwise-logistic regression) selected the variables haemodialysis total time, number of reuse of lines and dialysis equipments and the proportion patients per health-care workers.

BMC Public Health

In the multivariate analysis, forward stepwise and backward stepwise models were performed.

BMC Musculoskeletal Disorders

For multivariate analysis a stepwise approach was used.

BMC Gastroenterology

Descriptive analysis, χ2 test, and multivariate analysis with stepwise logistic regression were performed.

Cough

Only two variables retained statistical significance following multivariate analysis with stepwise regression.

Critical Care

Expert writing Tips

Best practice

When reporting results from a "multivariate analysis stepwise", clearly state the criteria used for variable entry and removal to ensure transparency and reproducibility.

Common error

Avoid failing to report the specific criteria (e.g., p-value thresholds) used for variable inclusion and exclusion during the "multivariate analysis stepwise". This omission hinders replication and interpretation of results.

Linguistic Context

The phrase "multivariate analysis stepwise" functions as a description of a statistical method. As Ludwig AI suggests, it specifies a particular approach to analyzing data with multiple variables by sequentially adding or removing them. It is commonly used in scientific and research contexts.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "multivariate analysis stepwise" accurately describes a statistical technique used predominantly in scientific research. According to Ludwig AI, the phrase is correct and usable, especially within contexts detailing statistical methods. It’s crucial to remember that, when employing this method, clarity in reporting model selection criteria is paramount to ensure transparency and reproducibility of the results. Common variations, such as "stepwise multivariate analysis", can provide alternative phrasing while maintaining semantic similarity. The register is formal and scientific, reflecting its typical usage in academic and research settings.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

stepwise multivariate analysis

Reorders the words of the query.

multivariate stepwise regression

Specifies the type of multivariate analysis as regression.

stepwise selection in multivariate analysis

Emphasizes the selection process within the analysis.

multivariate analysis with stepwise selection

Rephrases to highlight the presence of stepwise selection.

variable selection in multivariate models using stepwise methods

Highlights the method used for selecting variables.

multivariate model building with stepwise variable entry

Focuses on the process of building a model with variables entered stepwise.

stepwise approach to multivariate modeling

Highlights the approach used to the multivariate modelling.

multivariate regression using a stepwise algorithm

Specifies regression and uses "algorithm" instead of "analysis".

multivariate analysis employing stepwise techniques

Uses the term "techniques" instead of "stepwise".

multivariate analysis with iterative variable selection

Replaces "stepwise" with "iterative variable selection".

FAQs

What does "multivariate analysis stepwise" mean?

It refers to a statistical method where multiple variables are analyzed to determine their independent effects on an outcome, using a stepwise process to add or remove variables based on statistical significance.

When should I use a "multivariate analysis stepwise"?

Use it when you want to identify the most important predictors from a larger set of potential variables, particularly when there's a risk of multicollinearity or you want to build a parsimonious model.

What are some alternatives to "multivariate analysis stepwise"?

Alternatives include "stepwise multivariate analysis", "multivariate stepwise regression", or using other variable selection techniques like LASSO or ridge regression.

What are the limitations of using "multivariate analysis stepwise"?

It can lead to overfitting, unstable models (where small changes in the data can lead to different variable selections), and biased estimates of effect sizes. Consider alternatives like penalized regression or pre-specifying a model based on theory.